Implement complex databases and data pipelines that put analytics at the heart of real-time decision-making.
Work closely with leaders across the company on high-profile analytics projects that drive business strategies.
Provide technical guidance and ensure the use of sound engineering practices and effective use of resources.
Advance our implementation capabilities and help our team deliver solutions faster.
Work with strategic partners to solve business problems by developing best-in-class data solutions.
Perform data manipulation using SQL and Python to develop data assets.
Leverage technology to automate data ingestion, transformation, and integration.
Evaluate data quality and completeness.
Build strong partnerships with peers across the organization to support data-related goals.
Explore new technologies and data sources with curiosity and creativity.
Identify, design, and implement internal process improvements: automating manual processes and optimizing data pipelines.
Discover and explore new sources of data with curiosity and creativity.
Create and maintain optimal data pipeline architecture.

1-2+ years of experience to 3-4+ years of experience of data/software engineering experience working with SQL, Python, and relational databases.
Understanding and experience with dimensional data modeling (star schema)
Familiarity with the MLOps framework
Strong data manipulation skills for analytics
Excellent critical thinking skills to tackle complex data challenges
Strong organizational skills and very detail oriented
Exceptional collaboration and relationship building skills
Comfortable working in a fast paced, highly collaborative environment
Ability to effectively communicate to different target audiences
Resilient problem solving and critical thinking skills
Flexibility
able to meet changing requirements and priorities
BS in Computer Science, Information Technology degree, Data Analytics, Management Information Systems or equivalent

Data Engineer – Mid

Key skills